Tag: bigdata

  • Free Big Data Virtual Meetup

    The First Virtual Expo for the Big Data Community What: Big Data eMeetup, an online conference with speakers, vendors, and attendees. All in an interactive game-like setting. When: July 23, 2015, all day Where: Online, www.bigdataemeetup.com Cost: Free I believe this is a promising, low cost, and fun way to host a meetup. Please join…

  • NIST defines Big Data and Data Science

    The National Institute of Standards and Technology (NIST) is attempting to create standards for Big Data. They just released the NIST Big Data interoperability framework, which is a huge set of documents aimed at creating standards around everything in big data from definitions to architectures. Big Data Definitions In case you are wondering, and I…

  • Free Big Data Analytics Handbook

    Brian Liou from Leada was kind enough to provide a guest post about their latest handbook, The Data Analytics Handbook: Big Data Edition. Have you ever wondered what the deal was behind all the hype of “big data”? Well, so did we. In 2014, data science hit peak popularity, and as graduates with degrees in…

  • Strata 2015

    The annual Strata Conference in California is this week. The workshops have already started, but the conference does not begin until Thursday, February 19, 2015. At that time, a number of the keynote speeches will be live streamed for free. The keynotes are always great so be sure to tune in.

  • 3 Great Data Science Books You Can Read Now…for free

    Just this week, I have become aware of 3 free online books for data science. Data Visualization with Javascript If you are looking for a tutorial to teach you how to make wonderful visualizations on the web, look no further. Data Visualization with JavaScript is a free online book for learning data visualization with Javascript.…

  • Strata + Hadoop World 2014 Videos

    John Rauser from Pinterest gives one of the more popular talks from the Recent Strata Conference + Hadoop World. The following quote from his talk might peak your interest enough to get you to watch the entire video. Remember, he is speaking to a room with some of the leading data scientists in the world.…

  • Stanford Releases Large Network Datasets

    Stanford University has just released a collection of large datasets of network data. When I say network data, I am referring to the mathematical term of networks (think of a collection of nodes and edges). Here are just a few of the possible categories. Citation Networks Road Networks Web graphs Social Networks such as twitter…

  • Data Scientist vs Data Engineer

    Data Scientist vs Data Engineer

    As the field of data science continues to grow and mature, it is nice to begin seeing some distinction in the roles of a data scientist. A new job title gaining popularity is the data engineer. In this post, I lay out some of the distinctions between the 2 roles.   Data Scientist A data…

  • International School of Engineering Programs Beginning Soon

    I recently received the following information. International School of Engineering is announcing their 3rd batch of live e-Learning certificate programs starting 4-Sep-2013 in “Engineering Big Data with R and Hadoop Ecosystem” and “Essentials of Applied Predictive Analytics” (http://goo.gl/kHckP). These programs helped Engineers and Managers transform into Hadoop Developers/Data Scientists, get industry certifications, revolutionize their workspace…

  • 42 Big Data Startups – Vote for the Top 10

    Startup50’s list of 42 Big Data Startups. The voting the done, but the list contains plenty of startups working in the data science field.

  • 10 Big Data Best Practices

    10 Big Data Implementation Best Practices This is a great article and list of topics to remember when working on big data projects. Here is the list. Gather business requirements before gathering data Implementing big data is a business decision not IT Use Agile and Iterative Approach to Implementation Evaluate data requirements Ease skills shortage…

  • Big Data Journal: 5 articles to highlight

    The inaugural issue of Big Data was published a few weeks ago. The journal is excellent. The articles are relevant, readable, and free. In the first issue, most of the articles were not super technical (meaning there was not a lot of equations or algorithms). I would like to highlight just 5 of the articles…